Hello, A yearly allocation for the LCRC cluster has been requested with the following updated information: Submitter/PI: Sibendu Som Project Name: cfd_enginemodeling Division: ES Project title: Numerical Simulations of Knock in spark-ignited engines Associated funding: DOE – Office of Vehicle Technologies under co-optima program Other Systems: Science: This project will use a Computational Fluid Dynamics (CFD) software called CONVERGE to model knocking combustion in spark-ignited engines. The primary objective of the proposed research is to develop turbulent combustion models which can accurately predict knock in a CFR engine. This objective will be achieved through a collaborative effort by combining computational diagnostics, combustion modeling, reduced kinetic mechanisms, Reynolds-Averaged Navier Stokes (RANS) simulations and LES. The model development will be primarily based on the G-equation framework for tracking the flame front and homogeneous reactor multi-zone model for capturing end-gas auto-ignition. Project description: In the previous year, a methodology which used G-equation and multi-zone combustion models was developed in the RANS context. The idea is to employ this hybrid approach to capture two distinct combustion phenomena: turbulent flame propagation and end-gas auto-ignition. The project for the current year is divided into two parts: In the first part, the developed combustion model will be employed to study fuel-engine interactions at engine-relevant highly boosted conditions. Numerical tests with a variety of gasoline fuel surrogates will be carried out to understand the implications of fuel chemistry and engine operating conditions. Parametric sweeps of compression ratio and boost pressure will be performed. In the second part of the study, the combustion model will be employed in the LES context to study the effect of cycle-to-cycle variations on knocking tendency. It is expected that the new methodology will lead to improved predictions of engine knock. Industry partnership: none Project URL: http://www.transportation.anl.gov/engines/multi_dim_model_home.html Current FY Hours Used: undetermined amount New FY Requested allocation: 2000000 Q1: 500000 Q2: 500000 Q3: 500000 Q4: 500000 Justification: Our recent publication (J. Kodavasal, K. Harms, P. Srivastava, S. Som, S. Quan, K.J. Richards, M. Garcia, “Development of stiffness-based chemistry load balancing scheme, and optimization of I/O and communication, to enable massively parallel high-fidelity internal combustion engine simulations,” Journal of Energy Resource Technology; JERT-16-1022, 2016) together with MCS and Convergent Science discusses the improvements to the Converge tool that has resulted in significant improvement in scaling. Currently, we are able to scale the code up to 4096 processors on Mira with about 70% scaling efficiency for a fixed mesh size. This was achieved due to the implementation of: (1) MPI I/O, (2) Improved Communication, (3) METIS load balancing scheme, (4) Development of a new chemistry load balancing scheme. The above changes are not only expected to benefit calculations on Mira but also help on computing clusters like Bebop and Blues. Storage requirements: 5 TB Thank You, The LCRC Accounts System